回转窑筒体温度红外扫描与状态预报系统研究
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摘要
针对烧结法生产氧化铝工艺过程中回转窑窑皮形状复杂与筒体测温难的特点,采用红外线测温与数字滤波补偿技术相结合,开发出回转窑筒体温度红外线扫描和状态预报系统.该系统在测量回转窑筒体表面温度及其变化的基础上,通过基于模糊协方差矩阵的聚类算法,在线仿真出窑内衬与窑皮的形状及厚度,发出相应的状态预报信号,有效地改善了窑的操作,提高了设备的运转率,降低了生产成本,并为回转窑的自动控制提供参考.图2,参12.
In the process of using sintering technique of rotary kiln to produce alumina,the shape of kiln crust is complex and the temperature measurement is difficulty.In order to solve these two problems,an infrared ray scanning and condition forecasting system of rotary kiln is introduced,which uses infrared ray temperature measurement and digital filter compensating.Based on the value and change rate of kiln shell surface temperature,the shape and thickness of kiln crust and lining can be simulated and the corresponding signal of condition forecasting can give off by a clustering algorithm of fuzzy covariance matrix.The system improves the operation of kiln effectively,enhances the operation rate of facilities,reduces the cost of production and provides references for automatic control of rotary kiln.2figs.,12refs.
In the process of using sintering technique of rotary kiln to produce alumina,the shape of kiln crust is complex and the temperature measurement is difficulty.In order to solve these two problems,an infrared ray scanning and condition forecasting system of rotary kiln is introduced,which uses infrared ray temperature measurement and digital filter compensating.Based on the value and change rate of kiln shell surface temperature,the shape and thickness of kiln crust and lining can be simulated and the corresponding signal of condition forecasting can give off by a clustering algorithm of fuzzy covariance matrix.The system improves the operation of kiln effectively,enhances the operation rate of facilities,reduces the cost of production and provides references for automatic control of rotary kiln.2figs.,12refs.
引文
[1]杨重愚.氧化铝生产工艺学[M].北京:冶金工业出版社,1993.YANG Zhong-yu.ProcessTechnology ofA lum ina[M].Beijing:M et-alLurgicalIndustryProcess,1993.
[2]《联合法生产氧化铝》编写组.联合法生产氧化铝[M].北京:冶金工业出版社,1975.Newsroom ofunited m ethod Alum ina production.U nited M ethod A lu-m ina Production[M].Beijing:M etallurgicalIndustryProcess,1975.
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[7]W U Y K,GUU S M.A Compromise Model for Solving Fuzzy MultipleObjective Linear Programming Problems[J].Journalofthe C hineseInstituteofIndustrialEngineers,2001,18(5):87-93.
[8]王涛,沈谦,冯焕清,等.一种改进的模糊聚类算法[J].电路与系统学报,1999,4(1):64-69.W ANG Tao,SH EN Qian,FENG H uan-qing,et al.A Modified FuzzyClustering Algorithm[J].JournalofC ircuits and System s,1999,4(1):64-69.
[9]TAO C W.Unsupervised Fuzzy Clustering with Multi-center Clusters[J].Fuzzy Setsand System s,2002,128(3):305-322.
[10]林开颜,徐立鸿,吴军辉,等.快速模糊C均值聚类彩色图像分割方法[J].中国图像图形学报,2004,9(2):159-163.LIN Kai-yan,XU Li-hong,W U Jun-hui,et al,A Fast Fuzzy C-Means Clustering for Color Image Segmentation[J].JournalofIm ageand G raphics,2004,9(2):159-163
[11]王碧泉,陈祖荫.模式识别[M].北京:地震出版社,1989.W ANG Bi-quan,CH EN Zu-yin.Pattern R ecognition[M].Beijing:EarthquakeProcess,1989.
[12]KAM EL M S,SELIM Z.NewAlgorithms for Solvingthe FuzzyCluster-ingProblem[J].Pattern R ecognition,1994,27(3):421-428.
[2]《联合法生产氧化铝》编写组.联合法生产氧化铝[M].北京:冶金工业出版社,1975.Newsroom ofunited m ethod Alum ina production.U nited M ethod A lu-m ina Production[M].Beijing:M etallurgicalIndustryProcess,1975.
[3]朱尚明,卢荣德.在PID控制中采用数字滤波与动态补偿技术[J].自动化仪表,1999,20(2):11-12.ZH U Shang-m ing,Lu rong-de.Adopting Digital Filtering and DynamicCompensation Technologies in PID Control[J].Process A utom ationInstrum entation,1999,20(2):11-12.
[4]王琳灵,潘邵来,吕子剑.红外线扫描在氧化铝熟料窑监控中的应用[J].抚顺石油学院学报,2003,23(4):35-37.W ANG Lin-ling,PAN Shao-lai,LV Zi-jian,et al.Application ofInfrared ray Scanning in Monitoring of Anumina Rotary Kiln[J].JournalofFushun Petroleum Institute,2003,23(4):35-37.
[5]GRIM BLE M J,EI Sayed A.Solution of the Optimal Linear FilteringProblemfor Discrete Time Systems[J].IEEE Transactionson A cous-ticsSpeech and SignalProcessing,1990,38(7):1092-1104.
[6]景晓军,李剑锋.静止图像的一种自适应平滑滤波算法[J].通信学报,2002,23(10):6-14.JING Xiao-jun,LI Jian-feng.An Adaptive Smooth Filter Algorithms ofStill Images[J].Journalof C hina Institute of C om m unications,2002,23(10):6-14.
[7]W U Y K,GUU S M.A Compromise Model for Solving Fuzzy MultipleObjective Linear Programming Problems[J].Journalofthe C hineseInstituteofIndustrialEngineers,2001,18(5):87-93.
[8]王涛,沈谦,冯焕清,等.一种改进的模糊聚类算法[J].电路与系统学报,1999,4(1):64-69.W ANG Tao,SH EN Qian,FENG H uan-qing,et al.A Modified FuzzyClustering Algorithm[J].JournalofC ircuits and System s,1999,4(1):64-69.
[9]TAO C W.Unsupervised Fuzzy Clustering with Multi-center Clusters[J].Fuzzy Setsand System s,2002,128(3):305-322.
[10]林开颜,徐立鸿,吴军辉,等.快速模糊C均值聚类彩色图像分割方法[J].中国图像图形学报,2004,9(2):159-163.LIN Kai-yan,XU Li-hong,W U Jun-hui,et al,A Fast Fuzzy C-Means Clustering for Color Image Segmentation[J].JournalofIm ageand G raphics,2004,9(2):159-163
[11]王碧泉,陈祖荫.模式识别[M].北京:地震出版社,1989.W ANG Bi-quan,CH EN Zu-yin.Pattern R ecognition[M].Beijing:EarthquakeProcess,1989.
[12]KAM EL M S,SELIM Z.NewAlgorithms for Solvingthe FuzzyCluster-ingProblem[J].Pattern R ecognition,1994,27(3):421-428.